All Events
Python Fundamentals: Parts 4-6
January 27, 2025
This three-part interactive workshop series teaches you intermediate programming Python for people with previous programming experience equivalent to our Python Fundamentals workshop. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data...Read more about Python Fundamentals: Parts 4-6
Digital Humanities Working Group (February 2025)
February 3, 2025
The UC Berkeley Digital Humanities Working Group is a research community founded to facilitate interdisciplinary conversations in the digital humanities and cultural analytics. Our gatherings are participant driven and provide a place for sharing research ideas (including brainstorming new ideas...Read more about Digital Humanities Working Group (February 2025)
Excel Data Analysis: Introduction
February 3, 2025
This is a three-hour introductory workshop that will provide an overview of Excel, with no prior experience assumed. Attendees will learn how to use functions for handling data and making calculations, how to build charts and pivot tables, and more.Read more about Excel Data Analysis: Introduction
R Fundamentals: Parts 1-4
February 3, 2025
This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data,...Read more about R Fundamentals: Parts 1-4
R Copilot Assisted Coding Workshop
February 4, 2025
This workshop provides a beginner-friendly introduction to coding with GitHub Copilot, a popular AI coding assistant. We will start from the basics so you can take advantage of AI assistants to improve your coding and avoid common pitfalls. First, we’ll cover how to install and set-up Visual Studio...Read more about R Copilot Assisted Coding Workshop
Qualtrics Fundamentals
February 6, 2025
Qualtrics is a powerful online tool available to Berkeley community members that can be used for a range of data collection activities. Primarily, Qualtrics is designed to make web surveys easy to write, test, and implement, but the software can be used for data entry, training, quality control,...Read more about Qualtrics Fundamentals
R Data Wrangling and Manipulation: Parts 1-2
February 10, 2025
It is said that 80% of data analysis is spent on the process of cleaning and preparing the data for exploration, visualization, and analysis. This R workshop will introduce the dplyr and tidyr packages to make data wrangling and manipulation easier. Participants will learn how to use these packages...Read more about R Data Wrangling and Manipulation: Parts 1-2
Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP
February 10, 2025
This three-hour workshop will cover charts in more detail, review pivot tables, and the widely-used VLOOKUP function. We recommend first taking the introductory workshop Excel Data Analysis: Introduction.Read more about Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP
Python Data Wrangling and Manipulation with Pandas: Parts 1-2
February 10, 2025
Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python. In this workshop, we'll work with example data and go through...Read more about Python Data Wrangling and Manipulation with Pandas: Parts 1-2
Command Line Fundamentals
February 11, 2025
In this workshop, we provide a basic introduction to how to interact with your computer via terminal. We are going to focus on Bash (Bourne-Again Shell) or Zsh (Z Shell), which are one of the most commonly used Unix/Linux shells.Read more about Command Line Fundamentals
R Data Visualization
February 14, 2025
This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry...Read more about R Data Visualization
Institutional Review Board (IRB) Fundamentals
February 18, 2025
Are you starting a research project at UC Berkeley that involves human subjects? If so, one of the first steps you will need to take is getting IRB approval.Read more about Institutional Review Board (IRB) Fundamentals
Python Data Visualization: Parts 1-2
February 19, 2025
For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook.Read more about Python Data Visualization: Parts 1-2
GitHub Fundamentals
February 20, 2025
This introductory workshop covers basics of GitHub using GitHub Desktop, a GUI Git client. This workshop is designed for people with no previous experience with Git or GitHub. We will cover key concepts and workflows, including version control, repository creation, branching, merging, and...Read more about GitHub Fundamentals
Python GPT Fundamentals
February 20, 2025
This workshop offers a general introduction to the GPT (Generative Pretrained Transformers) model. No technical background is required. We will explore the transformer architecture upon which GPT models are built, how transformer models encode natural language into embeddings, and how GPT predicts...Read more about Python GPT Fundamentals
Stata Fundamentals: Parts 1-3
February 24, 2025
This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the Stata software, understand data and basic manipulations, import and subset data, explore and...Read more about Stata Fundamentals: Parts 1-3
Python Machine Learning Fundamentals: Parts 1-2
February 24, 2025
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction...Read more about Python Machine Learning Fundamentals: Parts 1-2
R Machine Learning with tidymodels: Parts 1-2
February 24, 2025
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data. During this two part workshop, we...Read more about R Machine Learning with tidymodels: Parts 1-2
R Geospatial Fundamentals: Parts 1-2
February 25, 2025
In this 2-part workshop series, we will provide an introduction to spatial analyses in R. We discuss the benefits of the additional ‘location' component that defines spatial data and how spatial data frames organize this information. Using the sf (simple features) and terra packages, we'll navigate...Read more about R Geospatial Fundamentals: Parts 1-2
MAXQDA Fundamentals
February 25, 2025
This two-hour introductory workshop will teach you MaxQDA from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the MaxQDA software, upload multiple forms of data then how to use manual and autocode features. We will review some...Read more about MAXQDA Fundamentals
Python Web APIs
March 3, 2025
In this workshop, we cover how to extract data from the web with APIs using Python. APIs are often official services offered by companies and other entities, which allow you to directly query their servers in order to retrieve their data. Platforms like The New York Times, Twitter and Reddit offer...Read more about Python Web APIs
Digital Humanities Working Group (March 2025)
March 3, 2025
The UC Berkeley Digital Humanities Working Group is a research community founded to facilitate interdisciplinary conversations in the digital humanities and cultural analytics. Our gatherings are participant driven and provide a place for sharing research ideas (including brainstorming new ideas...Read more about Digital Humanities Working Group (March 2025)
Excel Data Analysis: Introduction
March 3, 2025
This is a three-hour introductory workshop that will provide an overview of Excel, with no prior experience assumed. Attendees will learn how to use functions for handling data and making calculations, how to build charts and pivot tables, and more.Read more about Excel Data Analysis: Introduction
Python Geospatial Fundamentals: Parts 1-2
March 4, 2025
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.Read more about Python Geospatial Fundamentals: Parts 1-2
Python Deep Learning
March 4, 2025
In this workshop, we will convey the basics of deep learning in Python using keras on image datasets. You will gain a conceptual grasp of deep learning, work with example code that they can modify, and learn about resources for further study.Read more about Python Deep Learning
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